ai scientist

GE HealthCare

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
The Senior Staff AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative development environment. In this role, you will contribute to the development and deployment of modern machine learning methods for finding structure in large healthcare data sets.<br>
<br>
At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of computing services across the cloud and edge &ndash; including advanced analytics, visualization, multi-modal learning, servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet. Our Science &amp; Technology organization is harnessing the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we&rsquo;re committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits. To find out more, visit: https://jobs.gecareers.com/science-technology<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
Roles and Responsibilities</b><br>
Are you passionate about using AI to transform healthcare? We are looking for a highly motivated individual, passionate about foundational AI models to join the GE Healthcare AI group. As the Senior Staff AI Scientist, you will focus on exciting generative AI problems, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, quantization, etc.</p><p></p><p>
Additionally, you will be responsible for:</p><ul><li>
Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks using one or more of electronic medical records, waveforms, and clinical reports.</li><li>
Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.</li><li>
Exploring learning from human feedback and assisting humans evaluating AI.</li><li>
Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.</li><li>
Working with large-scale datasets, designing, and developing generative algorithms.</li><li>
Staying current on published state-of-the-art algorithms and competing technologies.</li></ul><p></p><p><b>
Basic Qualifications</b></p><ul><li>
Master&rsquo;s Degree in a &ldquo;STEM&rdquo; major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years of relevant research OR Ph.D. in a &ldquo;STEM&rdquo; major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 years of relevant research.</li><li>
Publications as first author on LLM, Agentic AI or self supervised learning (SSL).</li><li>
Demonstrated expertise in building large scale AI such as generative AI models.</li><li>
Implementation experience with a variety of high-level languages (e.g. Python, C++)</li><li>
Experience with high-dimensional imaging data and waveform/time-series data.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience and demonstrated capability to handle challenges with vague or abstract problem definition.</li><li>
Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.</li><li>
Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.</li><li>
Experience working with large scale AI training.</li><li>
An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.)</li><li>
Track record in developing machine learning solutions using massive real-world data for solving real world business problems.</li><li>
In depth experience with Spark/Hadoop and either PyTorch/Tensorflow</li><li>
Experience creating production environment data analytics and applications</li></ul><p></p><p><b>
Eligibility Requirements</b></p><ul><li>
Must be willing to travel to attend meetings, workshops, conferences &amp; etc.</li><li>
Must be willing to work out of an office located in Bellevue, WA.</li></ul><p></p><p><b>
About Team</b></p><p>
GE Healthcare teams are based in the US (San Ramon, Bellevue), France, Israel (Tel Aviv), and India (Bangalore). This gives us several core overlap hours for shared meetings.</p><p></p><p><b>
Work/Life Balance</b><br>
Our team also puts a significant value on work-life balance. Having a healthy balance between your personal and professional life is crucial to your happiness and success here. We don&rsquo;t focus on how many hours you spend at work or online. Instead, we&rsquo;re happy to offer a flexible schedule so you can have a more productive and well-balanced life&mdash;both in and outside of work.</p><p></p><p><b>
Mentorship &amp; Career Growth</b><br>
We maintain diverse engineering, and leadership perspectives and backgrounds across technology and beyond. Our employees are excited to share their experiences and mentor more junior engineers. Team members are highly encouraged to set up mentorship relationships with seasoned engineers, not only in our team, but also across the broader GE Healthcare population.</p><p></p><p>
We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.</p><p></p><div><div><div><div><div><div><div><p>
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p>
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</p></div></div></div></div></div></div></div><p></p><p>While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.</p><p></p><p><b>
Relocation Assistance Provided: </b>Yes</p><p></p>
We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $139,200.00-$208,800.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.<p></p><div><div><div><div><div><div><div><p>
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p>
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</p></div></div></div></div></div></div></div><p></p><p>While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.</p><p></p><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>Yes</p></div></div></div></div></div></div></div></div><p></p>

AI Scientist

CareSource

<div><p><b>Job Summary:</b><br>
<br>
The Applied AI Scientist III is responsible for the development and application of cutting-edge advanced analytics solutions using emerging Artificial Intelligence (AI) technologies such as Agentic AI, Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Natural Language Processing (NLP) and Generative AI solutions to enhance healthcare operations, patient care, and overall health plan performance and efficiency. This position requires a highly skilled AI expert capable of delivering complex data science projects independently while guiding other data scientists through technical expertise and code reviews.<br>
<br>
<b>Essential Functions:</b></p><ul><li>
Evaluate emerging technology in LLMs, NLP, Generative AI, and healthcare informatics, integrating these advancements into the projects to drive continuous innovation.</li><li>
Utilize NLP algorithms and other deep learning techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful insights.</li><li>
Lead development from prototype through production in partnership with engineering/architecture.</li><li>
Co-own operational readiness (evaluation, monitoring requirements, documentation, safeguards) and support post-release tuning of Generative AI solutions (such as prompt engineering and RAG).</li><li>
Lead initiatives specializing in NLP and predictive analytics, ensuring the successful delivery of projects that align with organizational goals.</li><li>
Work closely with interdisciplinary teams across IT, risk adjustment, program integrity, HEDIS, healthcare operations, finance, and clinical departments to identify and capitalize on opportunities for data-driven innovative solutions using cutting-edge emerging technologies.</li><li>
Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large and complex healthcare datasets.</li><li>
Define and execute evaluation strategies for ML and LLM solutions, including quality metrics, bias and safety checks, and performance monitoring after deployment.</li><li>
Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care.</li><li>
Conduct rigorous data analysis, including data cleansing, feature engineering, and exploratory data analysis, to derive meaningful insights and actionable recommendations.</li><li>
Collaborate with stakeholders to define key performance indicators (KPIs), develop metrics, and create dashboards and reports that effectively communicate insights and support decision-making.</li><li>
Provide strategic guidance and recommendations to senior leadership based on data analysis and predictive modeling results.</li><li>
Ensure compliance with data privacy and security regulations, including HIPAA and PHI handling as applicable and maintain the highest standards of data integrity, model governance, and documentation.</li><li>
Lead cross-functional projects with occasional light project management across teams to deliver results.</li><li>
Represent the department in project meetings and other meetings that require subject matter knowledge and input.</li><li>
Perform any other job related duties as requested.</li></ul><p><b><br>
Education and Experience:</b></p><ul><li>
Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required</li><li>
Master's or PhD degree preferred</li><li>
Equivalent years of relevant work experience may be accepted in lieu of required education</li><li>
Five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required</li><li>
Five (5) years of experience in the healthcare industry required</li><li>
One (1) year of experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflake) required</li><li>
One (1) year of experience in development and deployment of an NLP and Generative AI solution in the healthcare industry required</li></ul><p><b>
Competencies, Knowledge and Skills:</b></p><ul><li>
Familiarity with Agentic AI, LLM architecture, prompt engineering, RAG, and evaluation metrics</li><li>
Familiarity with MLOps and LLMOps practices such as CI/CD, model registry, experiment tracking, automated evaluation, monitoring, and reproducible pipelines</li><li>
Understanding of model risk management, AI governance, and responsible AI</li><li>
Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R</li><li>
Expert in data manipulation, data visualization, and SQL for data extraction and analysis</li><li>
Ability to perform advanced statistical analysis and modeling such as linear and non-linear regression, sampling, and Markov chains</li><li>
Expertise in emerging technologies and tools such as large language models, natural language understanding, sentiment analysis, named entity recognition, topic modeling, and text classification</li><li>
Expertise in Optical Character Recognition (OCR) technologies, including data extraction from scanned documents, forms, and invoices, and proficiency in OCR tools and libraries</li><li>
Familiarity with web app and API development and deployment in production environment</li><li>
Detailed knowledge of healthcare data, including medical and pharmacy claims, EMR data, HIE data, UM data, and demographic and population data</li><li>
Knowledge of healthcare operations, payer and provider models, and industry trends</li><li>
Proficient in feature engineering techniques and exploratory data analysis</li><li>
Knowledge of optimization techniques and artificial intelligence methods</li><li>
Excellent analytical, problem-solving, and critical-thinking skills, with the ability to translate complex data into actionable insights</li><li>
Strong project management skills, with the ability to lead and prioritize multiple projects simultaneously in a fast-paced environment</li><li>
Excellent written and verbal communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders</li><li>
Comfortable reading academic research papers and applying them in the models</li></ul><p><b>
Licensure and Certification:</b></p><ul><li>
None</li></ul><p><b>
Working Conditions:</b></p><ul><li>
General office environment; may be required to sit or stand for extended periods of time</li><li>
Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required</li></ul><p></p><p><b>
Compensation Range:</b></p>
$94,100.00 - $164,800.00<p>
CareSource takes into consideration a combination of a candidate&rsquo;s education, training, and experience as well as the position&rsquo;s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee&rsquo;s total well-being and offer a substantial and comprehensive total rewards package.
</p><p></p><p><b>Compensation Type (hourly/salary):</b></p>
Salary<p></p><p><b>
Organization Level Competencies
</b></p><ul><li><p>Fostering a Collaborative Workplace Culture</p></li><li><p>
Cultivate Partnerships</p></li><li><p>
Develop Self and Others</p></li><li><p>
Drive Execution</p></li><li><p>
Influence Others</p></li><li><p>
Pursue Personal Excellence</p></li><li><p>
Understand the Business</p></li></ul><p></p><h2 class="jobSectionHeader"><b><br>
This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.</b></h2>
#LI-GB1</div>

Applied AI Scientist III

Alignment Healthcare

<div><p>Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.</p><p></p>
The Sr. AI Scientist combines deep analytical expertise with advanced software engineering skills to architect and deliver high-impact AI/ML solutions on our proprietary clinical intelligence platform. This role owns complex, ambiguous problems from discovery to production deployment, drive technical excellence across the team, and mentor data scientists while partnering with engineering, product, and clinical leaders to deliver measurable outcomes for Medicare Advantage members.<p></p><p><b>
Job Duties/Responsibilities</b></p><ul><li>
Architect end-to-end AI/ML solutions for complex healthcare challenges (35%): Design and deliver production-grade machine learning systems for high-stakes applications including risk stratification, clinical decision support, autonomous chart review, and fraud detection. Define technical approach, model selection, and system architecture for multi-model systems and real-time decision engines that process millions of healthcare transactions.</li><li>
Own the full ML lifecycle from experimentation to production (25%): Build reliable, scalable AI services including experimentation, validation, deployment, monitoring, drift detection, and continuous improvement. Establish instrumentation, observability, alerting, and feedback loops to ensure model performance and reliability in production environments.</li><li>
Drive technical excellence and innovation (15%): Research and apply state-of-the-art methods in deep learning, NLP/LLMs, computer vision, and causal inference to healthcare problems. Champion engineering best practices including code quality, testing, documentation, reusability, and maintainability across the data science organization.</li><li>
Partner strategically with cross-functional leaders (15%): Collaborate with Product, Clinical, Operations, and Compliance teams to identify high-value AI opportunities aligned with business strategy. Translate complex technical concepts into clear business narratives for executive audiences and influence product roadmap and technology decisions.</li><li>
Provide technical mentorship and raise the bar (10%): Guide data scientists through code reviews, architectural discussions, and pair programming. Share knowledge through internal presentations and documentation. Support hiring by conducting technical interviews and modeling best practices in analytical rigor and problem-solving.</li></ul><div></div><p><b>
Job Requirements</b></p><p><b>
Experience</b></p><p><b>
Required:</b></p><ul><li>
5-8 years delivering production-grade data science or ML solutions with demonstrated business impact</li><li>
Proven track record architecting complex ML systems from research to production deployment</li><li>
Deep expertise in multiple ML domains and strong software engineering fundamentals</li><li>
Experience leading technical projects and mentoring data scientists</li></ul><p><b>
Preferred:</b></p><ul><li>
Healthcare domain expertise, particularly Medicare Advantage, risk adjustment, or claims analytics</li><li>
Experience with production document understanding systems (OCR, NER, entity extraction, LLM pipelines)</li><li>
Published research, open-source contributions, or patents in ML/AI</li><li>
Track record of translating research innovations into production systems</li></ul><div></div><p><b>
Education</b></p><p><b>
Required: </b>PhD in Computer Science, Machine Learning, Statistics, or related field</p><div></div><p><b>
Training</b></p><p><b>
Required:</b><br>
Continuous learning in ML/AI advancements, healthcare analytics, and software engineering practices</p><p><b>
Preferred:</b><br>
Training or certification in MLOps, cloud platforms (Azure, AWS, GCP), or healthcare regulations (HIPAA, CMS)</p><div></div><p><b>
Specialized Skills</b></p><p><b>
Required:</b></p><ul><li>
Expert-level proficiency in Data Science methods, workflows, and best practices</li><li>
Advanced Machine Learning including ensemble methods, deep learning, NLP, LLMs, and computer vision</li><li>
Strong Statistical Analysis and experimental design capabilities</li><li>
Expert programming: Python, Java, SQL, or PySpark with an emphasis on production-grade, maintainable code.</li><li>
Advanced SQL and experience with high-volume, high-dimensional healthcare data</li><li>
Proficiency with Databricks (Spark, Delta Lake), MLflow, Unity Catalog, and cloud platforms</li><li>
Experience with Git workflows, CI/CD pipelines, Docker, and modern MLOps practices</li><li>
Deep understanding of healthcare data (claims, clinical, member) and Medicare Advantage operations</li><li>
Exceptional communication skills: ability to translate technical complexity into business value for diverse stakeholders</li><li>
Strong data visualization and storytelling capabilities with proven ability to influence technical decisions</li></ul><p><b>
Preferred:</b></p><ul><li>
Experience with NoSQL databases, performance optimization, and distributed computing</li><li>
Real-time ML inference and streaming architectures</li><li>
Contributions to internal ML platforms, frameworks, or open-source projects</li><li>
Experience presenting at technical conferences or publishing research</li></ul><div></div><p><b>
Licensure</b></p><p><b>
Required:</b> None<br>
<b>Preferred:</b> Industry certifications in ML, cloud platforms, or healthcare analytics</p><div></div><p><b>
Essential Physical Functions</b></p><p>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p>
While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.</p><p></p>
Pay Range: $172,364.00 - $258,547.00<p>
Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
</p><p></p><p>Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.</p><p></p><ul><li><i>DISCLAIMER: Please</i><i> beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal </i><i>information. Please</i><i> be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at </i><i>https://reportfraud.ftc.gov/#/</i><i>. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health&rsquo;s talent acquisition team, please email </i><i>careers@ahcusa.com</i><i>.</i></li></ul></div>

Sr. AI & Data Scientist

Buck Institute for Research on Aging

<div>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 The Buck Institute for Research on Aging is seeking a
 <strong>
  Data Scientist / AI Scientist
 </strong>
 to support a research program focused on the fundamental biology of aging through the development and application of advanced artificial intelligence approaches. This role will contribute to efforts that use imaging, quantitative analysis, foundation models, and modern AI to better understand the biological mechanisms of aging and identify new ways to measure, predict, and potentially intervene in those processes.
 <br/>
 <br/>
 The successful candidate will join a highly collaborative, multidisciplinary team that brings together expertise in biology, biophysics, computer science, artificial intelligence, and other quantitative disciplines. This individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data.
 <br/>
 <br/>
 This position is 100% on site.
 <br/>
 <br/>
 <strong>
  About The Zhou Lab
  <br/>
  <br/>
 </strong>
 Our team is intentionally multidisciplinary, bringing together researchers from biology, biophysics, computer science, AI, and other quantitative fields. We see this cross-disciplinary environment as a significant strength, creating opportunities for shared learning, creative problem-solving, and innovation that would be less likely to emerge within a single field alone.
 <br/>
 <br/>
 Candidates from pure computational science backgrounds (with or without prior experience in bioinformatics) are encouraged to apply. Our lab has the experience of training CS background students to work on biological questions, as our dataset is either images or texts. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
 <br/>
 <br/>
 <strong>
  Recent example of our work:
  <br/>
  <br/>
 </strong>
 The Spatiotemporal Proteome Landscape of Aging: Structural determinants of Age-Sensitive Proteome Remodeling (bioRxiv, 2026).
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and apply advanced AI and machine learning methods to research questions in aging biology
  </li>
  <li>
   Design, build, and optimize computational approaches for large-scale image and biological data analysis
  </li>
  <li>
   Build and apply models in areas such as computer vision, image recognition, segmentation, deep learning, generative AI, diffusion models, and multimodal or foundation-model approaches
  </li>
  <li>
   Analyze complex imaging datasets and extract biologically meaningful patterns and insights
  </li>
  <li>
   Collaborate closely with experimental and computational researchers to integrate AI methods with biological research
  </li>
  <li>
   Contribute to the design of new research directions at the intersection of AI, imaging, and aging biology
  </li>
  <li>
   Contribute to a collaborative and intellectually engaged research environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS, MS, or PhD in computer science, data science, artificial intelligence, computational biology, bioengineering, applied mathematics, physics, or a related quantitative field
  </li>
  <li>
   Strong experience in one or more of the following areas:
  </li>
  <ul>
   <li>
    Computer vision
   </li>
   <li>
    Image recognition and segmentation
   </li>
   <li>
    Deep learning
   </li>
   <li>
    Generative AI
   </li>
   <li>
    Diffusion models
   </li>
   <li>
    Multimodal or foundation-model approaches
   </li>
  </ul>
  <li>
   Demonstrated experience developing computational methods and analyzing complex datasets
  </li>
  <li>
   Strong quantitative, analytical, and programming skills
  </li>
  <li>
   Ability to work independently and collaboratively in a multidisciplinary research setting
  </li>
  <li>
   Strong verbal and written communication skills
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with biological, biomedical, or microscopy imaging data
  </li>
  <li>
   Experience working in interdisciplinary research environments
  </li>
  <li>
   Interest in applying cutting-edge AI approaches to fundamental questions in biology and aging
  </li>
  <li>
   Publication record, open-source contributions, relevant research, project, or code portfolio
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation &amp; Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   $80,000 to $130,000 depending on skills and experience
  </li>
  <li>
   Comprehensive benefits including medical/dental/vision coverage, paid time off, paid parental leave, 401(k) employer contribution, and a student debt repayment option
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About the Buck
  <br/>
  <br/>
 </strong>
 The Buck Institute for Research on Aging is the first independent biomedical research institute in the United States devoted solely to research on aging. Located in Novato, California, the Buck brings together scientists across multiple disciplines to study the mechanisms of aging and age-related disease, to help people live better, longer.
 <br/>
 <br/>
 The Buck Institute is an equal opportunity employer. We strongly encourage applications from candidates whose experiences and perspectives will contribute to the diversity and excellence of our community.
 <br/>
 <br/>
 <strong>
  To Apply
  <br/>
  <br/>
 </strong>
 Please submit:
 <br/>
 <br/>
 <ul>
  <li>
   a curriculum vitae or resume,
  </li>
  <li>
   a brief statement of interest, and
  </li>
  <li>
   any relevant publications, projects, or code
  </li>
 </ul>
</div>


Data Scientist / AI Scientist – AI for Aging Research – Zhou lab

Unissant

<div><p>Unissant delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com.</p><p>
We are seeking a<b> AI</b> <b>Data Scientist</b> to join our team and support our federal customer.</p><p>
This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and interpersonal skills, with demonstrated expertise in collaborating with cross-functional teams to collect and interpret complex datasets.</p><p>
Candidates must have a desire to be part of a data-driven, customer-focused, fast-paced team that loves the mission of improving the citizen's experience and providing excellent service to government customers.</p><p><b>
Essential Duties and Responsibilities:</b></p><p><b>
Advanced Analytics Solutions:</b></p><ul><li>
Design and implement machine learning models, Gen-AI (LLM) and NLP models, and statistical methods to solve complex business challenges.</li><li>
Build scalable solutions for predictive modeling, optimization, and decision support.</li><li>
Analyze large and complex data sets to uncover trends, generate actionable insights, and support data-driven strategies.</li><li>
Communicate findings effectively to both technical and non-technical audiences.</li><li>
Collaborate with cross-functional teams (internally, with partners and with customers) to collect and interpret data.</li><li>
Explore and apply cutting-edge AI/ML techniques to enhance analytical capabilities and deliver measurable impact.</li></ul><p><b>
Data Visualization:</b></p><ul><li>
Design and produce compelling data visualizations and interactive dashboards.</li><li>
Transform complex findings into intuitive visual reports and dashboards to facilitate understanding for non-technical audiences.</li><li>
Stay updated with the latest trends in data visualization and integrate innovative techniques into the workflow.</li></ul><p><b>
Collaboration:</b></p><ul><li>
Work closely with the distributed teams and stakeholders to ensure the data infrastructure decisions factor the interests and data goals of the company and its partners.</li><li>
Advocate for data science and analytics principles/best-practices in design/requirements discussions with customers</li><li>
Engage with stakeholders to understand their needs and tailor visualizations accordingly.</li></ul><p><b>
Work Experience and Job Skills:</b></p><ul><li>
Minimum 5+ years of experience in Data Science.</li><li>
Working knowledge and understanding of supervised and unsupervised learning algorithms such as regression, classification, clustering, and dimensionality reduction.</li><li>
Experience with Large and Small Language models, Vision models, Prompt and Context engineering.</li><li>
Experience with advanced techniques like deep learning, reinforcement learning, and natural language processing (NLP).</li><li>
Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost).</li><li>
Strong foundation in statistical methods, hypothesis testing, and experimental design.</li><li>
Proficiency with Data Visualization tools like Tableau, QuickSight, Power BI, QlikView, or D3.js.</li><li>
Strong analytical skills with the ability to analyze complex data and produce actionable insights.</li><li>
Experience with AWS data and analytics technologies including EMR, Redshift, SageMaker, Comprehend, QuickSight, Glue, and S3</li><li>
Proficiency in Python and/or R for data analysis and ML development.</li><li>
Proficiency in SQL for data extraction and manipulation.</li></ul><p><b>
Education:</b></p><ul><li>
Bachelor's degree in Computer Science, Mathematics, Statistics or Information Systems required. Master's degree is preferred</li></ul><p><b>
Certificates, Licenses and Registrations:</b></p><ul><li>
This federal program requires the candidates to be a United States Citizen.</li><li>
Must have a current CBP BI clearance or be eligible to obtain one.</li></ul><p><b>
Communications Skills:</b></p><ul><li>
Excellent communication skills, both written and verbal.</li><li>
Solid ability to interface, inspire and motivate at various levels of the organization.</li><li>
Ability to convey technical information to non-technical individuals.</li><li>
Demonstrated experience communicating effectively across internal and external organizations.</li></ul><p><b>
Travel:</b></p><ul><li>
This is an on-site position in Ashburn, VA</li></ul><p><b>
Environmental Requirements:</b></p><ul><li>
Mainly sedentary; in an office environment.</li><li>
May be required to lift up to ten (10) pounds</li><li>
Flexible in working extended hours</li><li>
Eastern Standard Time work hours, aligned with client workday</li></ul><p><i>
The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.</i></p><p><i>
Please note: Candidate(s) will be required to go through pre-employment screening.
</i></p><p><i>Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)</i></p></div>

AI Data Scientist

American Modern Insurance Group

<div><div><b>Location</b> Amelia, United States <b>Job type</b> Full-Time <b>Work mode</b> Remote <b>Job level</b> Professional <b>Job ID</b> 12724 <b>Company</b> American Modern Insurance Group <b>Employment type</b> Regular <b>Area of expertise</b> Data, BI &amp; Analytics</div></div><p></p>
<br><div><b>All locations</b> Amelia, United States; Akron, United States; Carmel, United States; Cincinnati, United States; Cleveland, United States; Columbia, United States; Dayton, United States; Durham, United States; Indianapolis, United States;
<div><div><div>Drive the future of AI‑powered decision‑making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.</div></div><p></p><p>
American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property &ndash; such as manufactured homes and specialty dwellings &ndash; and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can&rsquo;t. We write admitted products in all 50 states and have a premium volume of $2.2 billion.</p><p></p><p>
Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re&rsquo;s Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.</p><p></p><p>
Join our innovative Predictive Analytics team as a Principal Data Scientist and play a key role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the development and deployment of cutting-edge AI/ML models that drive business growth, inform strategic initiatives, and revolutionize business decision-making across domains in the organization. You will have the opportunity to make a significant impact on our organization, develop and implement new analytics methodologies and best practices, and mentor and guide junior team members. We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing and deploying complex models, and driving business outcomes through data-driven decision-making.</p><p></p><p><b>
Purpose:</b></p><p>
Use data and statistical analysis to drive business decisions and target improved results across various functional areas.</p><p></p><p><b>
Roles &amp; Responsibilities:</b></p><ul><li>
Execute AI/ML strategy, with the ability to contribute to strategy development as well.</li><li>
Develop, deploy, monitor, and maintain predictive models using Python, with a focus on AI and machine learning techniques to drive business outcomes.</li><li>
Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks.</li><li>
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.</li><li>
Work closely with data engineering teams to design and implement data pipelines and architectures.</li><li>
Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.</li><li>
Participate in the development of predictive analytics and modeling presentations and present results/topics to stakeholders and management as requested.</li><li>
Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.</li><li>
Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.</li><li>
Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.</li><li>
Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance.</li><li>
Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.</li><li>
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders&rsquo; requests and hidden issues and explain possible solutions in their language.</li><li>
Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.</li><li>
Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.</li></ul><p></p><p><b>
Required Technical Skills</b></p><ul><li>
Expert-level proficiency in Python, with experience in popular libraries such as NumPy, pandas, and scikit-learn.</li><li>
Deep understanding of and experience building AI and machine learning models, as well as experience deploying GenAI solutions.</li><li>
Experience with big data platforms is highly desirable.</li><li>
Familiarity with cloud-based data platforms, such as AWS or Azure, is a plus.</li><li>
Strong understanding of data structures, algorithms, and software design patterns.</li><li>
Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.</li><li>
Strong commitment to testing, validation, and continuous improvement of models and workflows.</li><li>
Experience with MLflow, including model management, versioning, and deployment.</li></ul><p></p><p><b>
Skills / Knowledge / Experience:</b></p><ul><li>
Develop and project manage modeling projects and statistical analyses.</li><li>
Effectively communicate results to business partners and help drive business decisions.</li><li>
Participate in creation and discussion of best practices and propose new techniques.</li><li>
Mentor junior team members.</li><li>
Six (6) or more years of data science/predictive analytics experience in insurance or Eight (8+) or more years predictive modeling experience in another industry.</li><li>
Please note, this is not a managerial role but has the potential to develop into one over time.</li></ul><p></p><p><b>
Education, Certifications &amp; Designations:</b></p><ul><li>
Master&rsquo;s degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major</li></ul><p></p><p>
We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:</p><ul><li>
Two options for your health insurance plan (PPO or High Deductible)</li><li>
Prescription drug coverage (included in your health insurance plan)</li><li>
Vision and dental insurance plans</li><li>
Short and Long Term Disability coverage</li><li>
Supplemental Life and AD&amp;D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)</li><li>
Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)</li></ul><p></p><p>
In addition to the above insurance offerings, our employees also enjoy:</p><p></p><ul><li>
A robust 401k plan with up to a 5% employer match</li><li>
A retirement savings plan that is 100% company funded</li><li>
Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries</li><li>
Eligibility to receive a yearly bonus as a Munich Re employee</li><li>
A variety of health and wellness programs provided at no cost</li><li>
A hybrid environment that gives you a choice in where and how you get work done</li><li>
A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop</li><li>
An on-site complimentary workout facility as well as walking trails on campus grounds</li><li>
On-site wellness center complete with nurse practitioner</li><li>
Financial assistance for adoptions and infertility treatment</li><li>
Paid time off for eligible family care needs</li><li>
Tuition assistance and educational achievement bonuses</li><li>
Free parking</li><li>
A corporate matching gifts program that further enhances your charitable donation</li><li>
Paid time off to volunteer in your community</li></ul><p></p><p>
At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.</p><p></p><p>
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p></p><p>
Applicants requiring employer sponsorship of a visa will not be considered for this position.</p><p></p><p>
Salary range: $150-170K base</p><p></p><p>
#LI-SF1</p></div></div><p></p>
<br><div><div><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<p>With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.</p>
</div><div><div><p>Competitive Salary</p>
<p>We provide fair and competitive compensation that reflects your performance and commitment.</p>
</div><div><p>Company performance-based Incentives</p>
<p>In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.</p>
</div><div><p>Recognition and Special Rewards</p>
<p>We recognise outstanding individual contributions through a variety of targeted rewards and incentives.</p>
</div><div><p>Retirement Planning</p>
<p>We support your long-term financial wellbeing with retirement solutions aligned with local regulations.</p>
</div><div><p>Inclusive Workplace Culture</p>
<p>We foster a respectful, inclusive, and values-driven environment.</p>
</div><div><p>Learning &amp; Development</p>
<p>We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.</p>
</div><div><p>Work-Life-Balance</p>
<p>Supporting your ability to balance family, leisure, and your career.</p>
</div><div><p>Health &amp; Wellbeing</p>
<p>We support your physical and mental health through a range of programs and activities in each location.</p></div></div></div></div>

Handshake

<div>
 <strong>
  About Handshake
  <br/>
  <br/>
 </strong>
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 <br/>
 <br/>
 <strong>
  Why Join Handshake Now
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
  </li>
  <li>
   Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
  </li>
  <li>
   Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
  </li>
  <li>
   Build a massive, fast-growing business with billions in revenue
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Untangling the science of Data &amp; Evaluations for Frontier AI
 <br/>
 <br/>
 Thanks to our massive network of the world&rsquo;s top experts in all domains, the demand for human data from Handshake AI has exploded (with revenue growing from 0 to well over 9-figures in the first year and growth only accelerating since). Now the world&rsquo;s top AI Labs are looking to Handshake for advice on how to leverage human expertise to make frontier models more useful for everyone, and we are forming a leading research group to advance the science of Data and Evaluations for AI.
 <br/>
 <br/>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Publish papers, open source software, and do bleeding-edge open science on AI agents, LLMs and frontier multimodal models, RL environments, post-training.
  </li>
  <li>
   Work with all of the top AI Labs in the world and understand/shape what their researchers are prioritizing (uniquely, you get to work on research at a company whose customers are top AI researchers)
  </li>
  <li>
   Create public benchmarks that meaningfully measure AI progress, leveraging thousands of the world&rsquo;s top experts in different domains from the Handshake network to construct the most representative/high-quality benchmark.
  </li>
  <li>
   Shape the frontier of AI through high-impact research on topics that matter: how to measure/value data, how to effectively evaluate AI, what shapes of data are most effective as AI advances, what makes effective training/RL environments, post-training data recipes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Capabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Based in San Francisco, and excited to work in the office.
  </li>
  <li>
   Ph.D. in ML/AI, data science, or related fields.
  </li>
  <li>
   Publications in top AI/ML venues like NeurIPS, ICML, ICLR.
  </li>
  <li>
   Builders who love to tinker with LLMs/Agents and ship high-quality software, benchmarks/datasets, research, blogs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks
  <br/>
  <br/>
 </strong>
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 <br/>
 <br/>
 <em>
  <strong>
   The below benefits are for full-time US employees.
   <br/>
   <br/>
  </strong>
 </em>
 🎯
 <strong>
  Ownership:
 </strong>
 Equity in a fast-growing company
 <br/>
 <br/>
 💰
 <strong>
  Financial Wellness
 </strong>
 : 401(k) match, competitive compensation, financial coaching
 <br/>
 <br/>
 🍼
 <strong>
  Family Support:
 </strong>
 Paid parental leave, fertility benefits, parental coaching
 <br/>
 <br/>
 💝
 <strong>
  Wellbeing:
 </strong>
 Medical, dental, and vision, mental health support, $500 wellness stipend
 <br/>
 <br/>
 📚
 <strong>
  Growth:
 </strong>
 $2,000 learning stipend, ongoing development
 <br/>
 <br/>
 💻
 <strong>
  Remote &amp; Office:
 </strong>
 Internet, commuting, and free lunch/gym in our SF office
 <br/>
 <br/>
 🏝
 <strong>
  Time Off:
 </strong>
 Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!
 <br/>
 <br/>
 🤝
 <strong>
  Connection:
 </strong>
 Team outings &amp; referral bonuses
 <br/>
 <br/>
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 <br/>
 <br/>
 Compensation Range: $320K - $365K
 <br/>
 <br/>
</div>


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